completecommodities sm · commodity trading involves substantial risk of loss. source: bloomberg...
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0 Proprietary & Confidential Materials. Not for duplication or re-distribution.
CompleteCommodities
October 2013
SM
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1 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Compliance
Accounting
Finance
Investor
Relations
Operations
Technology
Legal
Risk
Management
Population Growth
Sources: UN Population Division and Population Reference Bureau. March 2009.
Years to Add Each Billion to World Population
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2 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Compliance
Accounting
Finance
Investor
Relations
Operations
Technology
Legal
Risk
Management
Population Growth
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000
9000000
10000000
1950 1965 1980 1995 2010 2020 2035 2050
Developed Regions Total population (thousands)
Less Developed Regions Total population (thousands)
The trend of the global population adding a billion denizens approximately every 12 years is
expected to provide continued demand for commodities across the complex to meet growing
energy, food, and infrastructure needs.
Source: United Nations Population Division, World Population Prospects. The 2008 Revision
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3 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Despite an accelerating upward trend in per capita oil consumption, China and India lag far behind
the US and other industrialized nations. The continuation of this trend would shift the global balance
of oil supply and demand.
Demand for Oil
Per Capita Oil Consumption
Source: CIA World Factbook
Barrels per day per 1,000 people
0
10
20
30
40
50
60
70
2003 2004 2005 2006 2007 2008 2009 2010 2011
United States China India
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4 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Commodities
Sources: Corn: USDA. Copper: Brook Hunt. Crude Oil: IEA. Cocoa: ICCO.
Corn: 1,000 metric tons. Copper: 1,000 metric tons. Crude Oil: 1,000 bbls/day. Cocoa: 1,000 tons.
0
100,000
200,000
300,000
400,000
500,000
600,000
700,000
800,000
900,000
1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
Global Corn Demand
0
5,000
10,000
15,000
20,000
25,000
1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Global Copper Demand
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010
Global Crude Oil Demand
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Global Cocoa Demand
The historical trend of increased global demand for commodities is displayed across sectors.
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5 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Exponential Effects of Demand
Source: UNESCO-IHE Institute for Water Education
6.6 Rice 449
4.2 Wheat 132
2 Corn 108
Grain Needed (lbs) to
Produce 1 Pound of Meat
Water Needed (gallons) to
Produce 1 Pound of Grain
6.6
4.2
2
449
132
108
6.6 Rice 449
4.2 Wheat 132
2 Corn 108
Grain Needed (lbs) to
Produce 1 Pound of Meat
Water Needed (gallons) to
Produce 1 Pound of Grain
Increased meat consumption is expected to contribute to a growing demand for grains as a feed
source for this production. This tax on agricultural supplies can also be seen in the growing
demand for fresh water as an integral component of the cultivation of a variety of grains.
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6 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Source: U.S. Department of Agriculture www.fas.usda.gov/psdonline
Shifting Diets
Per Capita Meat, Beef and Veal Consumption
Per Capita Consumption (KG)
0
5
10
15
20
25
30
35
40
45
50
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
United States China India
A corollary of the ongoing urbanization of emerging markets is the continuing change of dietary
habits. A significant characteristic of urban areas is an increase in meat consumption, which can be
expected to further tax agricultural supplies.
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7 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Food Dependency
Source: U.S. Department of Agriculture www.fas.usda.gov/psdonline
Production and Consumption in Millions of Tons
The last decade has seen a decoupling of the consumption and production of soybeans in China
where the commodity feeds both livestock and inhabitants. China’s growing population has fueled
its position as the world’s largest importer of soybeans.
Soybean Production and Consumption in China
0
10
20
30
40
50
60
70
1964 1968 1972 1976 1980 1984 1988 1992 1996 2000 2004 2008
Production Consumption
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8 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Compliance
Accounting
Finance
Investor
Relations
Legal
Commodities: Stocks to Use
Corn Soybeans
Wheat
Source: USDA
US stocks of Corn and Soybeans are near all-time lows, while US Wheat stocks have ample supply,
but have seen a recent deterioration in some of the sources of supply.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
1964 1972 1980 1988 1996 2004 2012
US
0%
10%
20%
30%
40%
50%
60%
1964 1972 1980 1988 1996 2004 2012
US
0%
20%
40%
60%
80%
100%
120%
140%
160%
180%
200%
1964 1972 1980 1988 1996 2004 2012
US
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9 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Decreasing Available Lands
Source: U.S. Department of Agriculture www.fas.usda.gov/psdonline
0.040
0.080
0.120
0.160
0.200
0.240
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010
Arable Land Per Capita
Decreasing availability of arable land is expected to force agricultural yields to increase in order to
continue to serve the needs of a growing population. This has not happened. Increased reliance on
utilization should lead to greater sensitivity to supply shocks.
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10 Confidential. Not for duplication or re-distribution.
Correlation Between Commodities and Equities
Correlation calculations use trailing 12 months of monthly observations. Historical Correlation Between S&P GSCI and S&P 500.
Data source: Bloomberg
Data range: 6/30/86 – 06/30/13
Co
rre
lati
on
(%
) M
ean
Lin
e
Throughout the course of multiple economic cycles, financial crises, and dramatic inflows of
investment to the commodity space, the short term rolling correlation between commodities and
equities has fluctuated between positive and negative values.
-100.0%
-80.0%
-60.0%
-40.0%
-20.0%
0.0%
20.0%
40.0%
60.0%
80.0%
100.0%
May-87 Jun-89 Jul-91 Aug-93 Sep-95 Oct-97 Nov-99 Dec-01 Jan-04 Feb-06 Mar-08 Apr-10 May-12
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11 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Inflation Protection
Unlike stocks and bonds, commodity prices historically demonstrate a positive correlation with
inflation, and provided greater returns in rising interest rate environments.
PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE RESULTS. COMMODITY TRADING INVOLVES SUBSTANTIAL RISK OF LOSS.
Data sources: Bloomberg; Commodities are the Thomson Reuters/CoreCommodity CRB Index. Equities are the S&P 500 Index. Bonds are the JP Morgan Global Aggregate Bond Index.
12/31/93 – 11/30/12. Monthly observations.
(10%)
0%
10%
20%
30%
40%
50%
60%
70%
80%
Commodities Stocks Bonds
Correlation to Inflation
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12 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Inflation Hedges
Unexpected inflation is calculated as the annual change in CPI less the average annual year over year change for the past 24 months.
The Thomson Reuters/CoreCommodity CRB Total Return Index was revised in June 2005, and data shown prior to then is hypothetical based on the index revision of June 2005.
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS. COMMODITY TRADING INVOLVES SUBSTANTIAL RISK OF LOSS.
Source: Bloomberg
Data Range: 2/28/98 – 11/30/12
Commodities have historically provided a valuable hedge against unexpected inflation. This is
important to investors since the value of their portfolios may erode during these episodic periods.
(5.00%)
(4.00%)
(3.00%)
(2.00%)
(1.00%)
0.00%
1.00%
2.00%
3.00%
(60.00%)
(40.00%)
(20.00%)
0.00%
20.00%
40.00%
60.00%
Feb-98 Nov-99 Aug-01 May-03 Feb-05 Nov-06 Aug-08 May-10 Feb-12
Thomson Reuters/Jefferies CRB Index (Left Axis)
Unexpected Inflation (Right Axis)
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13 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Inflation Protection
Source: Bloomberg. Data Range: 12/31/2002 – 9/30/2012
Commodities are the S&P GSCI Total Return. Commodity Equities is the CRBQX Total Return. Timber is the NCREIF Total Return Timberland Index. Real Estate is the Dow Jones US Real Estate
Index Total Return. TIPS is the Barclays US Government Inflation-Linked Bond Index. Emerging Markets is the MSCI Emerging Markets Index. Infrastructure is the UBS US Infrastructure Index.
MLPs is the Alerian MLP Index. Inflation is the CPI Index. Unexpected inflation as the annual change in CPI less the average annual year over year change for the past 24 months.
Historically, commodities have served as a better hedge to inflation AND unexpected inflation than
other asset classes which are typically viewed as possessing inflation hedging properties.
CommoditiesCommodity
EquitiesTimber TIPS
Emerging
MarketsReal Estate Infrastructure MLPs
Inflation 74.60% 54.67% 46.25% 29.33% 24.20% 23.05% 10.39% 0.43%
Unexpected Inflation 82.91% 55.81% 4.57% 47.34% 31.57% 44.90% 20.82% 31.26%
CommoditiesCommodity
EquitiesTimber TIPS
Emerging
MarketsReal Estate Infrastructure MLPs
Inflation 74.60% 54.67% 46.25% 29.33% 24.20% 23.05% 10.39% 0.43%
Unexpected Inflation 82.91% 55.81% 4.57% 47.34% 31.57% 44.90% 20.82% 31.26%
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14 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Most Commodity Futures Indices Have Underperformed Spot Commodity Prices…
•Past performance is not indicative of future results. Data Range: June 30, 2002 through December 31st, 2012. Source: Bloomberg
S&P 500 is a trademark of the McGraw Hill Companies, Inc. DJ-UBS Commodity Index is a service mark of Dow Jones & Company, Inc., UBS
AG, UBS Securities LLC or their affiliates. Any indices and other financial benchmarks shown are provided for illustrative purposes only, are
unmanaged, reflect reinvestment of income and do not reflect the impact of advisory fees. Investors cannot invest directly in an index. A price
of a spot commodity reflects the price of a commodity for immediately delivery.
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15 Proprietary & Confidential Materials. Not for duplication or re-distribution.
Disclosures
PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS. COMMODITY TRADING INVOLVES SUBSTANTIAL RISK OF LOSS.
This document does not constitute an offer of any commodities, securities or investment advisory services. Any such offer may be made only by means of a
disclosure document or similar materials which contain a description of material terms and risks. This document, which has been furnished on a confidential basis, is
exclusively for the use of the person to whom it has been delivered, and it is not to be reproduced or redistributed to any other person without the prior written consent
of CoreCommodity Management. This information is for use by sophisticated or institutional investors only. Additional information is available upon request. This
investment may not be suitable for all individuals. No investments or services mentioned or described herein are available to “private customers” as defined by the UK
Financial Conduct Authority or to anyone in Canada not a “Designated Institution.”
CoreCommodity Management assumes no obligation to provide this information in the future or to advise of changes in this information. There is no assurance that
CoreCommodity Management will achieve comparable returns or avoid substantial losses. CoreCommodity Management and its employees may, for their own
account or for client accounts, trade in the markets and instruments in which the Programs trade, and in so doing may take positions opposite to, or ahead of, those
held by the Programs or may be competing with the Programs for positions in the marketplace. Such trading may result in competition for investment opportunities or
create other conflicts of interest for CoreCommodity Management in respect of its obligations to the investors in the Programs. The applicable Disclosure Document
contains a complete description of these and other material conflicts of interest.
All historical data for the TR/CC CRB In-The-Ground Global Commodity Equity Index (“CRBQX”) before its initial launch date of September 21, 2009 are simulated by
applying the index construction and methodology at such date to available historical equity values. The simulated data do not reflect the actual performance of the
index as it was constructed at the time of reporting index values. Instead, the simulated historical values reflect the index construction and methodology as of the initial
launch date which were designed with the benefit of hindsight. Simulated historical returns do not reflect the impact (if any) of market disruption or market emergency
events. Simulated historical returns do not reflect the impact that material changes in the underlying markets might have had on the decisions to use or continue using
certain securities and weightings in the CRBQX.
S& P 500, S&P GSCI and S& P Global Natural Resources are trademarks of The McGraw Hill Companies, Inc. “Dow Jones®”, “DJ”, “Dow Jones Indexes”, “UBS”,
“Dow Jones-UBS Commodity IndexSM”, and “DJ-UBSCISM” are service marks of Dow Jones Trademark Holdings, LLC (“Dow Jones”) and UBS AG, as the case may
be. Thomson Reuters/CoreCommodity CRB Index is a service mark of Thomson Reuters and CoreCommodity Indexes, LLC or their affiliates. CRBQX is the property
of S-Network Global Indexes LLC (“SNGI”). SNGI is the designer of the construction and methodology for the CRBQX and is responsible for the content of this
information. Reuters America LLC or its affiliates and/or CoreCommodity Indexes, LLC act as brand licensors for the CRBQX. MSCI is a trademark of MSCI Inc.
and/or its subsidiaries. Source of all index data Bloomberg, L.P. Any indices and other financial benchmarks shown are provided for illustrative purposes only, are
unmanaged, reflect reinvestment of income and do not reflect the impact of advisory fees. Investors cannot invest directly in an index.
THE INFORMATION CONTAINED HEREIN HAS BEEN PREPARED FROM ORIGINAL SOURCES AND DATA WE BELIEVE TO BE RELIABLE BUT WE MAKE NO
REPRESENTATIONS AS TO ITS ACCURACY OR COMPLETENESS. THIS SUMMARY HAS BEEN PREPARED SOLELY AS A PRELIMINARY DOCUMENT TO
DETERMINE INVESTOR INTEREST REGARDING THE PROGRAMS DESCRIBED HEREIN.